Data Scientist Visa Sponsorship Jobs in Maryland
Data scientist roles in Maryland are concentrated around the Baltimore-Washington corridor, with major employers including Johns Hopkins, Leidos, Booz Allen Hamilton, and federal contractors in Bethesda and Silver Spring. The state's strong presence in biotech, cybersecurity, and defense analytics makes it one of the more active markets for data scientist visa sponsorship on the East Coast.
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Get Access To All JobsINTRODUCTION
We are seeking a Data Scientist I who will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks.
Specific Duties & Responsibilities
- Support the development of dashboards, calculations, and reports which may require programming.
- Support the development and tuning of machine learning models, which may require programming.
- Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance.
- Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design.
- Perform error analysis and suggest and implement improvements.
- Other duties as assigned.
In addition to the duties described above:
- Wrangle and analyze Electronic Health Record data and other real-world data including health insurance claims.
- Use SQL, R and/or Python for statistical analysis.
- Apply best practices for real-world evidence principles, including bias, confounding, and study design considerations.
MINIMUM QUALIFICATIONS
- Bachelor’s Degree.
- Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience.
- Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
PREFERRED QUALIFICATIONS
- Strong proficiency in coding and data wrangling with SQL, R and/or Python for statistical analysis.
- Experience with econometrics techniques.
- Experience with electronic health records and cost-related data such as claims.
- Real-world evidence techniques including target trial emulation.
Technical Skills & Expected Level of Proficiency
- Continuous Improvement - Developing
- Data Architecture - Developing
- Data Management and Analysis - Developing
- Data Tools and Platforms - Developing
- Data Validation and Quality Assurance - Developing
- Data Visualization - Developing
- Machine Learning - Developing
- Oral and written communications - Developing
- Programming Languages - Developing
The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
Classified Title: Data Scientist I
Role/Level/Range: ATP/04/PG
Starting Salary Range: $102,295 - $179,375 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday to Friday: 9:00am – 5:00pm
FLSA Status: Exempt
Location: Hybrid/School of Public Health
Department name: Health Economics
Personnel area: School of Public Health
Total Rewards
The referenced base salary range represents the low and high end of Johns Hopkins University’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.
Education and Experience Equivalency
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
Applicants Completing Studies
Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
Background Checks
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.
Diversity and Inclusion
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
Accommodation Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit: https://accessibility.jhu.edu/.
Vaccine Requirements
Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry.
The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
INTRODUCTION
We are seeking a Data Scientist I who will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks.
Specific Duties & Responsibilities
- Support the development of dashboards, calculations, and reports which may require programming.
- Support the development and tuning of machine learning models, which may require programming.
- Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance.
- Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design.
- Perform error analysis and suggest and implement improvements.
- Other duties as assigned.
In addition to the duties described above:
- Wrangle and analyze Electronic Health Record data and other real-world data including health insurance claims.
- Use SQL, R and/or Python for statistical analysis.
- Apply best practices for real-world evidence principles, including bias, confounding, and study design considerations.
MINIMUM QUALIFICATIONS
- Bachelor’s Degree.
- Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience.
- Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
PREFERRED QUALIFICATIONS
- Strong proficiency in coding and data wrangling with SQL, R and/or Python for statistical analysis.
- Experience with econometrics techniques.
- Experience with electronic health records and cost-related data such as claims.
- Real-world evidence techniques including target trial emulation.
Technical Skills & Expected Level of Proficiency
- Continuous Improvement - Developing
- Data Architecture - Developing
- Data Management and Analysis - Developing
- Data Tools and Platforms - Developing
- Data Validation and Quality Assurance - Developing
- Data Visualization - Developing
- Machine Learning - Developing
- Oral and written communications - Developing
- Programming Languages - Developing
The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
Classified Title: Data Scientist I
Role/Level/Range: ATP/04/PG
Starting Salary Range: $102,295 - $179,375 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday to Friday: 9:00am – 5:00pm
FLSA Status: Exempt
Location: Hybrid/School of Public Health
Department name: Health Economics
Personnel area: School of Public Health
Total Rewards
The referenced base salary range represents the low and high end of Johns Hopkins University’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.
Education and Experience Equivalency
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
Applicants Completing Studies
Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
Background Checks
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.
Diversity and Inclusion
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
Accommodation Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit: https://accessibility.jhu.edu/.
Vaccine Requirements
Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry.
The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
Data Scientist Job Roles in Maryland
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Search Data Scientist Jobs in MarylandData Scientist Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for data scientists in Maryland?
Federal contractors and defense firms are among the most active sponsors for data scientists in Maryland. Companies like Booz Allen Hamilton, Leidos, SAIC, and Northrop Grumman regularly hire data scientists and have established sponsorship programs. Johns Hopkins University and its affiliated health system also sponsor data science roles, as do biotech firms clustered around the I-270 technology corridor in Rockville and Gaithersburg.
Which visa types are most common for data scientist roles in Maryland?
The H-1B visa is the most common visa for data scientists in Maryland, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or applied mathematics. Some positions at universities or nonprofit research institutions may qualify for cap-exempt H-1B petitions. Applicants with advanced degrees may also explore the EB-2 or EB-2 NIW pathways for permanent residence.
Which cities in Maryland have the most data scientist sponsorship jobs?
The Baltimore metropolitan area and the Maryland suburbs of Washington, D.C. account for the majority of data scientist sponsorship activity in the state. Bethesda, Rockville, Silver Spring, and Gaithersburg are particularly active due to their concentration of federal agencies, contractors, and life sciences companies. Baltimore itself anchors a secondary hub anchored by Johns Hopkins, University of Maryland Medical System, and a growing tech sector.
How to find data scientist visa sponsorship jobs in Maryland?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data scientist openings in Maryland without sorting through roles that don't offer sponsorship. You can filter by location and role to surface positions from Maryland employers who have a demonstrated history of sponsoring international candidates, including contractors, research institutions, and biotech firms across the Baltimore-Washington corridor.
Are there state-specific considerations for data scientists pursuing visa sponsorship in Maryland?
Maryland's high concentration of federal contractors introduces one important consideration: many data scientist roles require security clearances, which are generally unavailable to non-U.S. citizens and permanent residents. This narrows the sponsorship-eligible pool to roles at commercial, academic, and non-cleared government contractor positions. On the positive side, the state's biotech corridor and research universities create consistent demand for data scientists in fields where sponsorship is more accessible.
What is the prevailing wage for sponsored data scientist jobs in Maryland?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.